Re: st: adjust vs. margins revisited

As I understand it, in a -logit- model there is a greater preference for computing the
"Average marginal effect" (AME) than the "Marginal effect at the mean" (MEM). The -adjust-
command was limited to computing the MEM, but the -margins- command can compute both the
AME and the MEM. In a linear model, like regress, these two are identical, so there is no
issue. But, for a model like the logistic model, these yield considerably different
results, and I think this is a great example of how different the results can be. Let's
use the original example (which uses the MEM strategy), but I am just going to hold all
covariates constant at their mean using the MEM method...

Yes, the confidence intervals are different and I am bothered by the -margins-
confidence interval that tends goes below zero. But, I am even more bothered by the fact
that the probability of being foreign for an average price, mpg and weight is so far at
odds with the crude probability of being foreign (which Steve noted was 29.73%).